NCAAF Player Stats
NCAAF stats, like stats in every sport, have expanded and also improved in the modern era, as details become enhanced and players improve.
The all-important Heisman trophy, awarded annually to the most dominant player in college football, is largely a product of analysis of NCAAF stats, which can paint different narratives depending on their context.
While the understandings may differ, however, stats, at the most basic level, can never be changed, and will never tell a lie.
How to bet on players using NCAAF stats
Using stats to bet on college football can be extremely helpful. For example, say that a quarterback averaging 134.5 passing yards per game has an upcoming total of 210.5 passing yards— on its surface, this seems like a truly horrible over to bet on, but perhaps this quarterback was splitting reps in every game until the most recent one, in which he threw for 303 yards. All of a sudden, that total does not look as bad as it did before.
Another example of the benefit of using NCAAF players stats as a basis for bets would be if a player has an advantage against a certain opponent, regardless of if they have played each other or not. Say that running back Lenny Lenkinson is averaging 79 yards per game but only 34 against Southeastern Conference opponents, and he and his team have an upcoming game against the University of Kentucky. Although he is averaging nearly twice as many yards, it would be risky to bet him even reaching 40 yards in the impending bout.
Advantages of betting on NCAAF with stats
Numbers can never misrepresent an event; they may not tell the entire story, but they also are incapable of being twisted to show something that didn’t happen.
Stats should be the basis of every bet, but they should not be the end-all-be-all. In other words, stats cannot be used to wholly defeat the NCAAF odds, or else there would be no point in betting. Stats show trends, which can sometimes collapse with no justification.
At the same time, stats can help disprove incorrect theories and give an indication of what is likely to happen. Proper statistical analysis should lead bettors to the point that they feel comfortable placing a wager, even if they are not positive that it will come true.
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If you figure out a universal answer for that, you should trademark it and sell the secret. Use your best judgment of the matchup and other factors to figure out when the statistical trends are and are not appropriate.
Use your stats to back up or disprove your theories after you have formulated them— do not go hunting for outright anomalies, or you will be setting yourself up for failure by ignoring the opposite side of the bet.
NCAAF betting guides, team websites, and sports media sites will all be great providers of important statistical information.